Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

The Data Visualisation Catalogue

JANUARY 24, 2022

This was the first paper to introduce the “Alluvial Diagram” and used this new visualisation to visually represent the change in a large and complex network structure over time. Mapping shifting hierarchical and regional tendencies in an urban network through alluvial diagrams (2013). Visualizing changes in nationally averaged PM2.5

Visualization 84

Visualization Reporting Modeling IT 84

datapine

APRIL 14, 2022

In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. It does this by using Artwork Visual Analysis (AVA) “a collection of tools and algorithms designed to surface high-quality imagery from videos. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

The Data Visualisation Catalogue

FEBRUARY 22, 2024

Arrow plot, Datawrapper Land of the freeish Americans are getting more nervous about what they say in public, The Economist Comparison of imports of goods and services as a percentage of GDP from 2013 to 2018 Datylon Report Studio Inspiration Related posts: Further Exploration #11: Bar/Column Chart Variations The post Chart Snapshot: Change Bar Charts (..)

Snapshot 96

Snapshot Reporting Visualization 96

Jet Global

JANUARY 6, 2020

At the beginning of 2013, evaluations were based on 37 criteria, each considered to be a key indicator of organizational health. However, the root of the issue is what really matters, and in most cases, poor financial reporting is to blame. Great reporting makes it clear what to do next, but anything less does the opposite.

Reporting 83

Reporting Finance Consulting Enterprise 83

IBM Big Data Hub

FEBRUARY 26, 2024

Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. Do we need weeks or months to complete a report? Is that report even entirely reliable? Data lineage helps you answer these questions by creating highly detailed visualizations of your data flows.

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

Sisense

JUNE 8, 2020

Data volumes have grown exponentially, not just in volume but in different systems, making it difficult to visualize whole data insights. This builds reusable artifacts that power ad hoc analysis, and also serves that data into reporting to send to teams and models. Collection and use of data as a competitive advantage.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

Sisense

DECEMBER 11, 2019

And he explained that the leap to visual-based data discovery put analytics in the hands of data experts working in different lines of business, rather than in IT, where bottlenecks could previously occur, and reporting could take much longer. Kongregate has been using Periscope Data since 2013.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

AUGUST 7, 2023

You can use SQL statements to create and train forecasting models from your time series data in Amazon Redshift and use these models to generate forecasts about revenue, inventory, resource usage, or demand forecasting in your queries and reports. to create forecast tables and visualize the data. Bike Sharing Dataset.

Forecasting 91

Forecasting Data Warehouse Machine Learning Modeling 91

IBM Big Data Hub

OCTOBER 16, 2023

Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported. Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications.

Dashboards 71

Dashboards Data Processing Metrics Software 71

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Recently the World Economic Forum published “ The Future of Jobs Report 2018.” This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

FineReport

JULY 18, 2022

Its new features of security, stability, and high performance, making it more convenient to develop, use, and manage reports, and solving the problem of data island in enterprises. FineBI , a self-service data analysis tool first launched in 2013, perfectly removes the data barriers existing among departments in enterprises.

Business Intelligence 52

Business Intelligence Marketing Enterprise Manufacturing 52

Ontotext

JANUARY 6, 2022

In compliance with the EU market transparency regulation (( Regulation EU No 5 43/2013 of 14 June 2013 on submission and publication of data in electricity markets ), ENTSO-E is doing a great job of collecting electricity market data (generation, transmission, consumption, balancing, congestion, outages, etc.)

Marketing 52

Marketing Data Quality Dashboards Visualization 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. European Control Conference (ECC), pages 3071-3076, 2013. [11] Technical report, Google, 2012. [13] Springer Netherlands, 2013. [16] Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? Do you see how far away a Reporting Squirrel's job is from that of an Analysis Ninja? We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

Juice Analytics

MARCH 4, 2022

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Hull House Chicago Maps by Florence Kelley go-wage-maps/.

Visualization 110

Visualization Statistics Data-driven Interactive 110

Occam's Razor

JANUARY 31, 2017

That's the difference between someone who reports data to someone who drives change in behavior. Delete anything that's redundant, and simply visualize what's left for sharper focus. The challenge of course is that it is quite odd to see that the 2,120k number is on a graph that is visually lower than 106k.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). If you open your copy of Google/Adobe Analytics or CoreMetrics or Webtrekk you'll notice that every single report has a gigantic number of metrics in it. Look at the colors.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

AUGUST 9, 2016

Or compressing my experience into custom reports and advanced segments I've shared. This gives Earth's residents almost all the reports we would like to look at, and hence do almost all the analysis you might want to do in your quest to become an Analysis Ninja. Play with Enhanced Ecommerce Reports. Another tip.

Analytics 110

Analytics Metrics Reporting Strategy 110

Occam's Razor

OCTOBER 14, 2014

Here's the complete year 2013… While the numbers for individual month are different, you can see that October spiked and then things came down to below Sept performance by December. Conversion rates reported by asking a group of companies what they are for their company, are hugely suspect. You can still learn from both.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Domino Data Lab

JULY 9, 2019

When I showed up I was reporting to the head of BI who reported to CTO who reported to CIO who reported to EVP of digital products who reported to CEO. At this point data is a function that reports directly to CEO. It’s a visual problem so it works both in our MSE and it works by your eyeballs.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

David Menninger's Analyst Perspectives

JANUARY 29, 2025

In the announcement, Databricks reported that it expects to achieve an annual revenue run rate of $3 billion in the quarter ending January 31, 2025. Founded in 2013, Databricks initially gained prominence for its cloud-based Apache Spark services, aimed at enhancing big data processing and creating an alternative to MapReduce.

IT 147

IT Dashboards Unstructured Data Big Data 147